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The Design for Trustworthy Software Compilation Taguchi Methods and Optimization for Robust Software by Peter C. Patton, Bijay K. Jayaswal

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Taguchi Methods for Robust Software Design

We will begin with a brief review of Taguchi Methods as they were developed over the past 50 years, originally for robust hardware design. Statistical quality control first began in manufacturing in the early 1900s by testing the output of production lines in an effort to reduce process and product variability. Deming and others soon concluded that although downstream testing might reduce the number of defective products shipped, it could never achieve any intrinsic process improvement or product quality. However, many years passed before it was accepted that upstream preproduction experiments done during design could contribute to the optimization of industrial processes, quality improvement of products, ...

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